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| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.29551 |
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| _version_ | 1866913169876713472 |
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| author | Ciceri, Andrea Corrielli, Giacomo Bertolini, Giulia De Marco, Cinzia Cappelletti, Vera Di Cosimo, Serena Deng, Yunjie Zhou, Yuqi Russo, Martina Kanno, Hiroshi Lee, Kelvin Ding, Tianben Bassi, Andrea Osellame, Roberto Bragheri, Francesca Goda, Keisuke Brancati, Nadia Paiè, Petra |
| author_facet | Ciceri, Andrea Corrielli, Giacomo Bertolini, Giulia De Marco, Cinzia Cappelletti, Vera Di Cosimo, Serena Deng, Yunjie Zhou, Yuqi Russo, Martina Kanno, Hiroshi Lee, Kelvin Ding, Tianben Bassi, Andrea Osellame, Roberto Bragheri, Francesca Goda, Keisuke Brancati, Nadia Paiè, Petra |
| contents | High-speed imaging of cells in flow is essential for probing cellular heterogeneity in large populations. Existing imaging approaches based on single-pixel detection and spatio-temporal encoding provide exceptional speed, but typically rely on bulky free-space optics, long dispersive elements, and are prone to alignment instabilities. Here, we introduce STEPIC Microscopy, the first fully integrated on-chip system for high-speed imaging via spatio-temporal encoding in photonic integrated circuits. Our platform leverages waveguides, splitters, fiber delay-lines, and 3D optical remappers to encode spatial information into the temporal domain, enabling robust image reconstruction of cells flowing through microchannels. The monolithic architecture provides a compact and robust platform for high-throughput bioimaging, enabling scalable and practical implementations of ultrafast imaging systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_29551 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | STEPIC: High-Speed Imaging via Spatio-Temporal Encoding in Photonic Integrated Circuits Ciceri, Andrea Corrielli, Giacomo Bertolini, Giulia De Marco, Cinzia Cappelletti, Vera Di Cosimo, Serena Deng, Yunjie Zhou, Yuqi Russo, Martina Kanno, Hiroshi Lee, Kelvin Ding, Tianben Bassi, Andrea Osellame, Roberto Bragheri, Francesca Goda, Keisuke Brancati, Nadia Paiè, Petra Optics High-speed imaging of cells in flow is essential for probing cellular heterogeneity in large populations. Existing imaging approaches based on single-pixel detection and spatio-temporal encoding provide exceptional speed, but typically rely on bulky free-space optics, long dispersive elements, and are prone to alignment instabilities. Here, we introduce STEPIC Microscopy, the first fully integrated on-chip system for high-speed imaging via spatio-temporal encoding in photonic integrated circuits. Our platform leverages waveguides, splitters, fiber delay-lines, and 3D optical remappers to encode spatial information into the temporal domain, enabling robust image reconstruction of cells flowing through microchannels. The monolithic architecture provides a compact and robust platform for high-throughput bioimaging, enabling scalable and practical implementations of ultrafast imaging systems. |
| title | STEPIC: High-Speed Imaging via Spatio-Temporal Encoding in Photonic Integrated Circuits |
| topic | Optics |
| url | https://arxiv.org/abs/2605.29551 |